Data and Analytics Engineer (31717)

UK Credit Union•Lexington, KY

6d•$96,873 - $103,057•Hybrid

About The Position

The Data and Analytics Engineer is responsible for centralized reporting, data modeling, and foundational data governance across the organization. This role supports operational decision-making by owning enterprise reporting, enhancing Power BI capabilities, and contributing to improving how data is structured, governed, and shared.

Requirements

Bachelor’s degree in Information Systems, Computer Science, Data Analytics, or a related field. Equivalent professional experience will be considered.
Five or more years of hands-on SQL and Power BI experience in a financial services or data-intensive environment.
Strong experience developing and maintaining Power BI reports and dashboards, including DAX and Power Query.
Proficiency with SQL and enterprise reporting tools such as Microsoft SQL Server, SSMS, and SSRS.
Solid understanding of relational databases, data models, and ETL/data integration concepts including SSIS and Azure Data Factory.
Experience applying data quality and governance practices to ensure accurate, reliable reporting.
Ability to translate business requirements into technical solutions and clearly communicate insights to non-technical stakeholders.
Analytical thinking and problem-solving
Attention to data accuracy and integrity
Ability to balance operational reporting needs with longer-term strategic goals

Responsibilities

Build, maintain, and enhance enterprise reports and dashboards using Power BI, including proficiency in DAX and Power Query.
Work with SQL-based systems and enterprise reporting environments including Microsoft SQL Server, SSMS, and SSRS.
Apply row-level security and data access controls within reporting and dashboarding platforms.
Design and maintain reports that are accurate, consistent, and accessible to non-technical business users.
Apply strong understanding of relational databases, data schemas, and reporting structures to support business needs.
Support ETL concepts and data pipeline work using tools such as SSIS or Azure Data Factory.
Document data flows, report logic, semantic models, and integration patterns clearly and consistently.
Apply data validation and quality assurance practices to ensure reporting accuracy and integrity.
Support data governance initiatives including data ownership, definitions, usage standards, and access controls.
Gather reporting and data requirements from non-technical business stakeholders and translate them into accurate, actionable solutions.
Explain technical data concepts in clear, business-friendly terms to audiences across all levels of the organization.
Manage and prioritize a queue of reporting requests across multiple departments while maintaining quality and meeting deadlines.